Online social media content delivery : a data-driven approach /

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Bibliographic Details
Author / Creator:Wang, Zhi, author.
Imprint:Singapore : Springer, 2018.
Description:1 online resource
Language:English
Series:SpringerBriefs in computer science
SpringerBriefs in computer science.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11679105
Hidden Bibliographic Details
Other authors / contributors:Zhu, Wenwu, author.
Yang, Shiqiang, author.
ISBN:9789811027741
9811027749
9789811027734
9811027730
Digital file characteristics:text file PDF
Summary:This book explains how to use a data-driven approach to design strategies for social media content delivery. It first introduces readers to how social information can be effectively gathered for big data analysis, which provides content delivery intelligence. Secondly, the book describes data-driven models to capture information diffusion in online social networks and social media content propagation and popularity, before presenting prediction models for social media content delivery. By addressing the resource allocation and content replication aspects of social media content delivery, the book presents the latest data-driven strategies. In closing, it outlines a number of potential research directions regarding social media content delivery.
Other form:Print version: Wang, Zhi. Online social media content delivery. Singapore : Springer, 2018 9789811027734 9811027730
Standard no.:10.1007/978-981-10-2774-1